Data decentralized: Empowering teams with a data mesh approach
Why forward-thinking organizations are turning to a data mesh architecture.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data Governance Framework: What is it? Importance, Pillars and Best Practices
Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations.
Kafka-docker-composer: A Simple Tool to Create a docker-compose.yml File for Failover Testing
Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.
Building an effective test automation framework synergized with Xray Enterprise
Test automation is an essential component in today's software development landscape, where speed and quality are critical. It ensures the timely delivery of high-quality software by automating repetitive and time-consuming testing tasks. However, the journey to effective test automation comes with challenges such as selecting the right tools, managing complex test cases, and enabling seamless integration of testing into the software development lifecycle.
How to Navigate the Costs of Legacy SIEMs with Snowflake
Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. They have become indispensable for organizations worldwide, particularly for security teams. But as much as security operation center (SOC) analysts have come to rely on solutions like Splunk, there is one complaint that comes up for some: Costs can quickly add up.
Introducing Qlik's AI Accelerator - Delivering Tangible Customer Outcomes in Generative AI Integration
At Qlik, we're witnessing a thrilling shift in the landscape of data analysis, customer engagement, and decision-making processes, all thanks to the advent of generative AI, especially Large Language Models (LLMs). The potential for transformation across all sectors is enormous, but the journey toward integration can be daunting for many businesses with many leaders wondering where to start in integrating the exciting capabilities of AI into their daily workflows.
Navigating the Digital Operational Resilience Act
Regulations often get a bad rap. You may have heard the old idiom “cut the red tape” which means to circumvent obstacles like regulations or bureaucracy. But in many – if not most )– cases the underlying need for regulations outweighs the burden of compliance.
A Look Back at the Gartner Data and Analytics Summit
Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.
Decoding the Dynamics of Software Development Team Structure
In the realm of software development, success isn't merely about the lines of code; it's about the people behind them and how they collaborate. The structure of a software development team lays the foundation for efficient communication, effective problem-solving, and ultimately, the delivery of high-quality products. In this exploration, we delve into the intricate layers of software development team structures, uncovering the roles, methodologies, and strategies that drive innovation and productivity.
Turbocharging Your Business with (Gen)AI
If you were to stop someone walking down the street and ask them how long artificial intelligence, or AI, has been a hot topic, they might say it’s something that’s emerged mostly in recent years. But AI has been around for a long time, with the term first being coined as long ago as 1955. Generative AI however is a different beast, and one that's largely responsible for moving the topic of AI to the tip of everyone’s tongues – from consumers to enterprises alike.